Teams

GEPTA/55&over/6.0M/Andalis/EPTC#1

SouthernNewMexico · 2026 USA ADULT 55 & OVER LEAGUE

13 players · average NTRP 3.00 / GEPTA

View scouting list →
Schedule
Flight standings3 teams · 2026 USA ADULT 55 & OVER LEAGUE
TeamWLInd. WInd. LSets lostGames lost
1Southwest/Ferris/55&over/6.0M8018615161
2GEPTA/55&over/Tepsick/TW35101432242
3GEPTA/55&over/6.0M/Andalis/EPTC#11781635256

Ordered by team wins, then losses, then sets lost — the order USTA uses to seed a flight. Individual wins are lines, not ties.

See the full flight, with every team’s record

ScoutingWhere each opponent usually plays

Signed-in extra: whether this captain plays strict strength order or mixes it up, from every doubles line they have put out. Create a free account to see it.

Roster averages 2.79 estimated across 8 rated players. No lineup is published in advance, so the column below is where each player has actually been used — a captain's habits are the best available forecast. Sign in and claim your record to see who you have played.

3.45
Gerardo Gomez
usually #1 Doubles 36%, also #2 Doubles 32% · published 3.5
2.90
Ernesto Landeros
usually #2 Doubles 56%, also #1 Doubles 44% · published 3
2.80
James Lambeth
usually #1 Doubles 42%, also #2 Doubles 36% · published 3
2.77
Christopher Ninkovich
usually #3 Doubles 80%, also #2 Singles 10% · published 3
2.72
Daniel Avila
usually #2 Doubles 50%, also #3 Doubles 25% · published 3
2.69
Edward Sosa
usually #2 Doubles 36%, also #1 Doubles 32% · published 3
2.68
James McCleland
usually #3 Doubles 54%, also #2 Doubles 31% · published 3
2.32
Hector Montelongo
usually #3 Doubles 100% · published 2.5
Jorge Coreano
usually #1 Doubles 42%, also #2 Doubles 26% · published
Jose Andalis
usually #3 Doubles 60%, also #2 Doubles 40% · published
Manny Casillas
usually #3 Doubles 50%, also #2 Doubles 33% · published
Pat Rodriguez
usually #2 Doubles 71%, also #1 Doubles 14% · published
Richard Ramos
usually #2 Doubles 67%, also #3 Doubles 22% · published
Established pairs

Doubles pairs from this roster with three or more matches together anywhere — ordered by performance against what the rating gap predicted, not by record.

Jose Andalis + Edward Sosa9557% games+3.6% vs expected
Pat Rodriguez + James McCleland5359% gamesnot enough data
James Lambeth + James McCleland2443% gamesnot enough data
James Lambeth + Jorge Coreano4256% gamesnot enough data
Hector Montelongo + Gerardo Gomez4255% gamesnot enough data
Pat Rodriguez + Jorge Coreano134 matchesnot enough data
Pat Rodriguez + Manny Casillas134 matchesnot enough data
Pat Rodriguez + Edward Sosa044 matchesnot enough data
Roster

Ordered by our estimated dynamic rating, which is why two players at the same published level are not tied — a published 4.0 says nothing about where inside the band someone sits. Lines played in this team’s season are shown beside each name.

3.5
Gerardo Gomez
72W–51L career · 27 lines in 2026
<1%66%34%
3.45
3
Ernesto Landeros
16W–3L career · 9 lines in 2026
<1%77%23%
2.90
3
James Lambeth
108W–107L career · 31 lines in 2026
1%93%6%
2.80
3
Christopher Ninkovich
25W–25L career · 10 lines in 2026
2%94%4%
2.77
3
Daniel Avila
14W–43L career · type A · 8 lines in 2026
5%94%1%
2.72
3
Edward Sosa
57W–77L career · 25 lines in 2026
7%92%1%
2.69
3
James McCleland
80W–75L career · 13 lines in 2026
8%91%1%
2.68
2.5
Hector Montelongo
11W–48L career · 5 lines in 2026
0%92%8%
2.32
Jorge Coreano
64W–75L career · 38 lines in 2026
not enough data
Jose Andalis
37W–51L career · 5 lines in 2026
not enough data
Manny Casillas
13W–24L career · 12 lines in 2026
not enough data
Pat Rodriguez
41W–59L career · 7 lines in 2026
not enough data
Richard Ramos
25W–43L career · 9 lines in 2026
not enough data

Three percentages are where each player stands right now: the chance they are below their band, inside it, or above it, on the way they are playing this season. The number on the right is our estimated dynamic rating, which USTA never publishes. This is today rather than a forecast of December, because a forecast has to assume future matches and cannot know whether someone will even be offered them. Percentages are blank where a player has too few matches this season, or at a level where the model does not yet beat a base-rate guess; the estimate is a weaker claim than a probability and survives where those do not.

Not affiliated with or endorsed by the USTA. Ratings labelled as published are USTA year-end figures; anything we describe as an estimate is ours, not USTA’s. Match data is from USTA TennisLink.